In this paper, we aim at tackling the more challenging fast few-shot style transfer problem, where we not only make few-shot voice cloning faster but also enable the TTS model to transfer from source styles to the cloned voice.
To make the voice cloning procedure faster, we extend the optimizing-base model-agnostic meta-learning (MAML) approach [1]} to TTS.
